Year 2023

• Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms

  Publication

  • P. A. Leszczełowska (formerly: P. Leszczełowska)
  • M. A. Bollin (formerly: M. Bollin)
  • K. Lempkowski
  • M. Żak
  • J. Rumiński

  - Year 2023

  To this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...

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• Systematic Literature Review on Click Through Rate Prediction

  Publication

  • P. A. Leszczełowska (formerly: P. Leszczełowska)
  • M. A. Bollin (formerly: M. Bollin)
  • M. Grabski

  - Year 2023

  The ability to anticipate whether a user will click on an item is one of the most crucial aspects of operating an e-commerce business, and clickthrough rate prediction is an attempt to provide an answer to this question. Beginning with the simplest multilayer perceptrons and progressing to the most sophisticated attention networks, researchers employ a variety of methods to solve this issue. In this paper, we present the findings...

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Year 2022

• Systematic Literature Review for Emotion Recognition from EEG Signals

  Publication

  • P. A. Leszczełowska (formerly: P. Leszczełowska)
  • N. Dawidowska

  - Year 2022

  Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

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• Systematic Literature Review for Emotion Recognition from EEG Signals

  Publication

  • P. A. Leszczełowska (formerly: P. Leszczełowska)
  • N. Dawidowska

  - Year 2022

  Researchers have recently become increasingly interested in recognizing emotions from electroencephalogram (EEG) signals and many studies utilizing different approaches have been conducted in this field. For the purposes of this work, we performed a systematic literature review including over 40 articles in order to identify the best set of methods for the emotion recognition problem. Our work collects information about the most...

  Full text available to download